CS 546
Machine Learning in NLP

Section Type Times Days Location Instructor
S LEC 0930 - 1045 W F   1302 Siebel Center for Comp Sci  Julia Hockenmaier
Official Description Central learning frameworks and techniques that have emerged in the field of natural language processing and found applications in several areas in text and speech processing: from information retrieval and extraction, through speech recognition to syntax, semantics and language understanding related tasks. Examination of the theoretical paradigms -- learning theoretic, probabilistic, and information theoretic -- and the relations among them, as well as the main algorithmic techniques developed within each paradigm and in key natural language applications. Course Information: Prerequisite: CS 446 and CS 473.
Course Prerequisites
Course Directors